Enriching the metadata of map images: a deep learning approach with GIS-based data augmentation-Reference-Cited by-同舟云学术

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Enriching the metadata of map images: a deep learning approach with GIS-based data augmentation

Published:2021-08-23 Issue: Volume: Page:1-23
ISSN:1365-8816
Container-title:International Journal of Geographical Information Science
language:en
Short-container-title:International Journal of Geographical Information Science

Author:

Hu Yingjie¹^ORCID,Gui Zhipeng²³^ORCID,Wang Jimin¹,Li Muxian²

Affiliation:

1. GeoAI Lab, Department of Geography, University at Buffalo, Buffalo, NY, USA

2. School of Remote Sensing and Information Engineering, Wuhan University, Wuhan, China

3. State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan, China

Funder

National Natural Science Foundation of China

Publisher

Informa UK Limited

Subject

Library and Information Sciences,Geography, Planning and Development,Information Systems

Link

https://www.tandfonline.com/doi/pdf/10.1080/13658816.2021.1968407

Reference45 articles.

1. The European geoportal––one step towards the establishment of a European Spatial Data Infrastructure

2. CLoDSA: a tool for augmentation in classification, localization, detection, semantic segmentation and instance segmentation tasks

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